Nano Technology
نویسندگان
چکیده
We present a new approach using genetic algorithms, neural networks, and nano robotics concepts applied to the problem of control design for nanoassembly automation and its application in medicine. As a practical approach to validate the proposed design, we have elaborated and simulated a virtual Environment focused on control automation for nano robotics teams that exhibit collective behavior. This collective behavior is a suitable way to perform a large range of tasks and positional assembly manipulation in a complex three-dimensional workspace. We emphasize the application of such techniques as a feasible approach for the investigation of nano robotics system design in nano medicine. A theoretical and practical analysis of control modeling is one important aspect that will enable rapid development in the emerging field of nanotechnology.
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